p53 Pro72Arg 多态性与非洲裔男性前列腺癌。
p53 Pro72Arg polymorphism and prostate cancer in men of African descent.
机构信息
Howard University Cancer Center, College of Medicine, Washington, DC 20060, USA.
出版信息
Prostate. 2010 Dec 1;70(16):1739-45. doi: 10.1002/pros.21209.
BACKGROUND
p53 is a transcription factor that regulates the cell cycle, DNA repair, and apoptosis. A variant at codon 72, rs1042522, results in altered activities for p53 and is, notably, differentially distributed among different ethnic populations. However, associations of this variant with cancer in men of African descent have not been explored. Herein, we tested the hypothesis that rs1042522 was associated with prostate cancer (PCa) risk.
MATERIALS AND METHODS
Genotypes were determined by PCR-RFLP methods in a study population of African descent consisting of 266 PCa patients and 196 male controls.
RESULTS
Our results indicate that the p53 polymorphism may be associated with increased risk of PCa. Genotypes were significantly and marginally associated with PCa risk using the dominant and log-additive genetic models (OR=1.53, 95% CI: 1.02-2.29, P=0.04; OR=1.33, 95% CI: 0.99-1.78, P=0.06, respectively). After adjusting for age, the associations with PCa remained, but results were not statistically significant (OR=1.48, 95% CI: 0.95-2.31, P=0.08; OR=1.30, 95% CI: 0.95-1.80, P=0.10, respectively).
CONCLUSIONS
The present study demonstrates that population-dependent differences in allele frequencies associated with health disparities provide a valuable framework for the interrogation of complex diseases in all populations.
背景
p53 是一种转录因子，可调节细胞周期、DNA 修复和细胞凋亡。密码子 72 处的变体 rs1042522 导致 p53 活性改变，并且在不同种族人群中的分布明显不同。然而，该变体与非洲裔男性癌症的相关性尚未得到探索。在此，我们检验了 rs1042522 与前列腺癌（PCa）风险相关的假设。
材料和方法
在一个由 266 名 PCa 患者和 196 名男性对照组成的非洲裔人群研究人群中，通过 PCR-RFLP 方法确定基因型。
结果
我们的结果表明，p53 多态性可能与 PCa 风险增加相关。使用显性和对数加性遗传模型，基因型与 PCa 风险显著相关（OR=1.53，95%CI：1.02-2.29，P=0.04；OR=1.33，95%CI：0.99-1.78，P=0.06）。在调整年龄后，与 PCa 的关联仍然存在，但结果无统计学意义（OR=1.48，95%CI：0.95-2.31，P=0.08；OR=1.30，95%CI：0.95-1.80，P=0.10）。
结论
本研究表明，与健康差异相关的等位基因频率的人群依赖性差异为所有人群中复杂疾病的研究提供了有价值的框架。
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